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%%%%%%  RESUME STARTS HERE  %%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{document}

%----------HEADING----------
\begin{tabular*}{\textwidth}{ @{\extracolsep{\fill}}l @{\hspace{-1ex}}l @{\hspace{-1ex}}l}
    \textbf{\href{http://m.nisyif.com/}{\Huge\color{blue}MURTADHA NISYIF}} & \faIcon{map-marker-alt} Ontario, Canada & \faIcon{link} \href{https://m.nisyif.com/}{m.nisyif.com} \\
    \emph{} & \faIcon{at} \href{mailto:mnisyif@gmail.com}{mnisyif@gmail.com} & \faIcon{linkedin} \href{https://www.linkedin.com/in/mnisyif/}{linkedin.com/in/mnisyif}\\
    & \faIcon{phone-square-alt} +1 (519) 502-8463 & \faIcon{github} \href{https://www.github.com/mnisyif}{github.com/mnisyif}
\end{tabular*}
\vspace{-20pt}

%----------Experience----------
\section{\color{blue}WORK EXPERIENCE}
    \resumeSubHeadingListStart
        \resumeSubheading
            {Software Engineer - Machine Learning}{Jan 2024 -- Aug 2025}
            {University of Guelph}{Guelph, Ontario}
            \resumeItemListStart
                \resumeItem {Drove a \textbf{30$\times$ bandwidth reduction} and \textbf{29\% latency cut} by integrating Swin-Transformer semantic compression into an edge-cloud pipeline, while keeping image fidelity $\ge$88\%}
                \resumeItem {Authored an \textbf{adaptive network-aware module} that tunes compression in real time, ensuring lowest-possible latency under fluctuating link conditions}
                \resumeItem {Quantised the PyTorch model to ONNX and \textbf{deployed on Xilinx Kria SoCs with Vitis AI}, achieving DPU inference $\sim$3$\times$ faster than CPU baseline}
                \resumeItem {Containerised encoder, decoder, and a 10 GbE core-network simulator (TCP/IP); profiled round-trip times with iperf3 to verify 29\% latency optimizations}
            \resumeItemListEnd

        \resumeSubheading
            {Software Developer}{Oct 2022 -- Oct 2023}
            {University of Guelph - Robotics Institute}{Guelph, Ontario}
            \resumeItemListStart
                \resumeItem {Packaged the complete ROS2, Node.js, and Vue stack into versioned \textbf{Docker images} for clean reproducibility across development and test rigs}
                \resumeItem {Provisioned AWS EC2 and S3 resources with \textbf{Terraform}; configured a self-hosted GitLab and \textbf{Jenkins pipeline} to build, test, and deploy the full-stack application with zero-downtime rollouts}
                \resumeItem {Implemented \textbf{Let's Encrypt auto-renewal} and Nginx reverse-proxy routing, adding HTTPS and CORS hardening without manual intervention}
                \resumeItem {Delivered a wheelchair-friendly smart-door system integrating ESP32, PIR sensors, and React Native control; field-tested reliability at 95 \% success over 3 months}
            \resumeItemListEnd

        \resumeSubheading
            {Information Technology Analyst}{Jul 2020 -- Dec 2020}
            {Kitchener Downtown Community Health Center - SRHC}{Kitchener, Ontario}
            \resumeItemListStart
                \resumeItem {Designed a Samba-based file-share to replace e-mail transfers, boosting staff file-access speed by $\sim$40\%}
                \resumeItem {Configured and maintained \textbf{FortiGate firewall + VPN} for 60 remote users; drafted monitoring proof-of-concept in Prometheus before hand-off}
                \resumeItem {Optimized the 3CX PBX workflow, cutting patient on-hold times by 30 \%}
                \resumeItem {Led a hardware refresh (switches, servers, workstations) that met security targets while saving 45 \% against budget}
            \resumeItemListEnd

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%-----------EDUCATION-----------
\section{\color{blue}EDUCATION}
    \resumeSubHeadingListStart
        \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{MASc. - Computer Engineering}}{Aug 2025}
        \resumeSchoolItem{University of Guelph $|$ \color{blue} \emph{B.Eng - Comp. Engineering, B.Comp. - Comp. Science}}{Apr 2023}
    \resumeSubHeadingListEnd
% \vspace{-8pt}

%-----------SKILLS-----------
\section{\color{blue}SKILLS, TECHNOLOGIES, INTERESTS}
  \begin{tabularx}{\textwidth}{ @{} >{\bfseries}l X }
    \textbf{Skills:}       & AI; DevOps; Software Testing; Cloud Computing; Data Analysis; ML; CI/CD \\
    \textbf{Technologies: } & Python; C++; C; JavaScript; Rust; HTML; Java; Bash; Flask; FastAPI; Swagger; Node.js; React; PyTorch; MongoDB; PostgreSQL; SQLite; Docker; Kubernetes; Git; Jenkins; Terraform; AWS \\
    \textbf{Languages: }    & English (Fluent); Arabic (Fluent)
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%   \vspace{-8pt}

%-----------PROJECTS-----------
\section{\color{blue}PROJECTS}
    \resumeSubHeadingListStart
        \resumeSubItem{\textbf{\color{black}Personal Portfolio Website}}
            {Full-Stack Developer: built with React frontend and Rust backend, integrated end-to-end Jenkins CI/CD and Docker deployment; reduced manual deployment time by 70\%}

        \resumeSubItem{\textbf{\color{black}Home lab Administration}}
            {Managed a fleet of 15 Docker containers hosting media services, websites, and game servers; implemented automated Let's Encrypt SSL issuance, Prometheus/ Grafana monitoring, and Fail2Ban SSH hardening, achieving 99.9\% uptime}
        
        \resumeSubItem{\textbf{\color{black} Heart Disease Predictor}}
            {Full-stack Flask-RESTful application with HTML/CSS/JavaScript frontend; trained on the UCI Heart Disease dataset (11 clinical features) achieving 95\% accuracy; implements input feature scaling for normalized, real-time predictions}
        
        \resumeSubItem{\textbf{\color{black}Real-Time Noise cancelling with RL}}
            {Built a custom OpenAl Gym environment in Python that leverages Dynamic Sparse Training (DST) and FFT-based audio processing (librosa) to adaptively filter noise; implemented a waveform-similarity reward and achieved up to 5209 FPS during PPO training}

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\end{document}